Pandas Profiling Report

Dataset statistics

Number of variables	17
Number of observations	33908
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	4.4 MiB
Average record size in memory	136.0 B

Variable types

Numeric	9
Categorical	8

Alerts

`feature_5` is highly correlated with `feature_15`	High correlation
`feature_6` is highly correlated with `feature_5` and 1 other fields	High correlation
`feature_14` is highly correlated with `feature_2` and 2 other fields	High correlation
`feature_13` is highly correlated with `feature_14`	High correlation
`feature_15` is highly correlated with `feature_5`	High correlation
`feature_0` is highly correlated with `feature_7`	High correlation
`feature_2` is highly correlated with `feature_14`	High correlation
`feature_7` is highly correlated with `feature_0` and 1 other fields	High correlation
`feature_9` is highly correlated with `feature_7`	High correlation
`feature_11` is highly correlated with `feature_14`	High correlation
`feature_7` has 3891 (11.5%) zeros	Zeros
`feature_14` has 2193 (6.5%) zeros	Zeros

Reproduction

Analysis started	2022-11-12 04:11:07.994261
Analysis finished	2022-11-12 04:11:20.726886
Duration	12.73 seconds
Software version	pandas-profiling v3.4.0
Download configuration	config.json

feature_0
Real number (ℝ)

HIGH CORRELATION

Distinct	77
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	-0.004157719312

Minimum	-2.159994149
Maximum	5.091402133
Zeros	0
Zeros (%)	0.0%
Negative	18608
Negative (%)	54.9%
Memory size	265.0 KiB

Quantile statistics

Minimum	-2.159994149
5-th percentile	-1.31242835
Q1	-0.7473844836
median	-0.1823406175
Q3	0.6652251816
95-th percentile	1.701138936
Maximum	5.091402133
Range	7.251396281
Interquartile range (IQR)	1.412609665

Descriptive statistics

Standard deviation	0.9997758651
Coefficient of variation (CV)	-240.4625686
Kurtosis	0.3192048614
Mean	-0.004157719312
Median Absolute Deviation (MAD)	0.6592178438
Skewness	0.6862668522
Sum	-140.9799464
Variance	0.9995517804
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
-0.8415584613	1567	4.6%
-0.935732439	1486	4.4%
-0.7473844836	1480	4.4%
-0.5590365282	1443	4.3%
-0.6532105059	1428	4.2%
-0.4648625505	1370	4.0%
-1.029906417	1327	3.9%
-0.3706885729	1286	3.8%
-0.2765145952	1103	3.3%
-0.1823406175	1093	3.2%
Other values (67)	20325	59.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-2.159994149	10	< 0.1%
-2.065820171	22	0.1%
-1.971646193	34	0.1%
-1.877472216	63	0.2%
-1.783298238	104	0.3%
-1.68912426	157	0.5%
-1.594950283	231	0.7%
-1.500776305	404	1.2%
-1.406602327	609	1.8%
-1.31242835	699	2.1%

Value	Count	Frequency (%)
5.091402133	1	< 0.1%
4.997228155	1	< 0.1%
4.903054177	1	< 0.1%
4.8088802	2	< 0.1%
4.620532244	1	< 0.1%
4.526358267	3	< 0.1%
4.432184289	2	< 0.1%
4.338010311	3	< 0.1%
4.243836333	6	< 0.1%
4.149662356	2	< 0.1%

feature_1
Real number (ℝ)

Distinct	6434
Distinct (%)	19.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.00258382466

Minimum	-3.081148547
Maximum	33.09477576
Zeros	0
Zeros (%)	0.0%
Negative	25074
Negative (%)	73.9%
Memory size	265.0 KiB

Quantile statistics

Minimum	-3.081148547
5-th percentile	-0.5039103537
Q1	-0.4227866333
median	-0.2973240375
Q3	0.02290117447
95-th percentile	1.448855832
Maximum	33.09477576
Range	36.1759243
Interquartile range (IQR)	0.4456878078

Descriptive statistics

Standard deviation	1.014267778
Coefficient of variation (CV)	392.5451263
Kurtosis	149.2496233
Mean	0.00258382466
Median Absolute Deviation (MAD)	0.1500953045
Skewness	8.638637558
Sum	87.61232658
Variance	1.028739124
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
-0.4474193419	2611	7.7%
-0.4470909058	134	0.4%
-0.4467624697	125	0.4%
-0.4461055975	108	0.3%
-0.4464340336	107	0.3%
-0.4457771614	84	0.2%
-0.4454487253	68	0.2%
-0.4398653113	60	0.2%
-0.444791853	59	0.2%
-0.4441349808	51	0.2%
Other values (6424)	30501	90.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-3.081148547	1	< 0.1%
-2.69622142	1	< 0.1%
-1.77988466	1	< 0.1%
-1.554905921	1	< 0.1%
-1.451776981	1	< 0.1%
-1.375908239	1	< 0.1%
-1.302666985	1	< 0.1%
-1.196910556	1	< 0.1%
-1.144360778	1	< 0.1%
-1.13483613	1	< 0.1%

Value	Count	Frequency (%)
33.09477576	1	< 0.1%
31.87627777	1	< 0.1%
26.22290693	1	< 0.1%
22.9332908	1	< 0.1%
21.46616667	1	< 0.1%
21.44383302	1	< 0.1%
20.68514559	1	< 0.1%
19.14346647	1	< 0.1%
18.78054456	1	< 0.1%
18.41630891	1	< 0.1%

feature_2
Real number (ℝ)

HIGH CORRELATION

Distinct	31
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	-0.0002127901277

Minimum	-1.779107836
Maximum	1.82562845
Zeros	0
Zeros (%)	0.0%
Negative	16447
Negative (%)	48.5%
Memory size	265.0 KiB

Quantile statistics

Minimum	-1.779107836
5-th percentile	-1.538792084
Q1	-0.9380027029
median	0.02326030684
Q3	0.6240496879
95-th percentile	1.585312698
Maximum	1.82562845
Range	3.604736287
Interquartile range (IQR)	1.562052391

Descriptive statistics

Standard deviation	1.000872259
Coefficient of variation (CV)	-4703.56529
Kurtosis	-1.061004934
Mean	-0.0002127901277
Median Absolute Deviation (MAD)	0.8411051335
Skewness	0.09063085798
Sum	-7.21528765
Variance	1.001745278
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=31)

Value	Count	Frequency (%)
0.5038918117	2090	6.2%
0.2635760593	1752	5.2%
0.6240496879	1488	4.4%
-1.178318455	1449	4.3%
0.1434181831	1438	4.2%
-1.298476332	1415	4.2%
-0.2170554456	1409	4.2%
-0.9380027029	1393	4.1%
1.465154821	1369	4.0%
-1.058160579	1342	4.0%
Other values (21)	18763	55.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-1.779107836	248	0.7%
-1.65894996	984	2.9%
-1.538792084	816	2.4%
-1.418634208	1097	3.2%
-1.298476332	1415	4.2%
-1.178318455	1449	4.3%
-1.058160579	1342	4.0%
-0.9380027029	1393	4.1%
-0.8178448267	1159	3.4%
-0.6976869505	398	1.2%

Value	Count	Frequency (%)
1.82562845	489	1.4%
1.705470574	1154	3.4%
1.585312698	1309	3.9%
1.465154821	1369	4.0%
1.344996945	874	2.6%
1.224839069	776	2.3%
1.104681193	628	1.9%
0.9845233166	349	1.0%
0.8643654404	688	2.0%
0.7442075642	680	2.0%

feature_3
Real number (ℝ)

Distinct	1482
Distinct (%)	4.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	-5.287459413 × 10^-5

Minimum	-1.002477879
Maximum	18.09469981
Zeros	0
Zeros (%)	0.0%
Negative	22654
Negative (%)	66.8%
Memory size	265.0 KiB

Quantile statistics

Minimum	-1.002477879
5-th percentile	-0.8665687247
Q1	-0.6025166542
median	-0.3035165155
Q3	0.2362369816
95-th percentile	1.909861134
Maximum	18.09469981
Range	19.09717769
Interquartile range (IQR)	0.8387536357

Descriptive statistics

Standard deviation	1.002511745
Coefficient of variation (CV)	-18960.17854
Kurtosis	19.42937687
Mean	-5.287459413 × 10^-5
Median Absolute Deviation (MAD)	0.3611300376
Skewness	3.214662874
Sum	-1.792871738
Variance	1.005029799
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
-0.652997197	153	0.5%
-0.5209711618	146	0.4%
-0.5287373992	140	0.4%
-0.5753348234	133	0.4%
-0.6219322476	133	0.4%
-0.5986335355	132	0.4%
-0.5326205178	131	0.4%
-0.4743737376	130	0.4%
-0.5598023486	130	0.4%
-0.7190102147	129	0.4%
Other values (1472)	32551	96.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-1.002477879	3	< 0.1%
-0.9985947599	1	< 0.1%
-0.9947116412	3	< 0.1%
-0.9908285225	3	< 0.1%
-0.9869454039	10	< 0.1%
-0.9830622852	27	0.1%
-0.9791791665	38	0.1%
-0.9752960478	55	0.2%
-0.9714129291	60	0.2%
-0.9675298104	55	0.2%

Value	Count	Frequency (%)
18.09469981	1	< 0.1%
14.06790573	1	< 0.1%
13.69512634	1	< 0.1%
12.28555426	1	< 0.1%
11.89724239	1	< 0.1%
11.74968388	1	< 0.1%
11.6293072	1	< 0.1%
11.35748889	1	< 0.1%
11.01189133	1	< 0.1%
10.94976143	1	< 0.1%

feature_4
Real number (ℝ)

Distinct	47
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	-0.0002980492524

Minimum	-0.5693506376
Maximum	19.44364734
Zeros	0
Zeros (%)	0.0%
Negative	22557
Negative (%)	66.5%
Memory size	265.0 KiB

Quantile statistics

Minimum	-0.5693506376
5-th percentile	-0.5693506376
Q1	-0.5693506376
median	-0.2465603476
Q3	0.07622994242
95-th percentile	1.690181393
Maximum	19.44364734
Range	20.01299798
Interquartile range (IQR)	0.6455805801

Descriptive statistics

Standard deviation	1.003723509
Coefficient of variation (CV)	-3367.643104
Kurtosis	41.91052474
Mean	-0.0002980492524
Median Absolute Deviation (MAD)	0.32279029
Skewness	5.006205658
Sum	-10.10625405
Variance	1.007460883
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=47)

Value	Count	Frequency (%)
-0.5693506376	13160	38.8%
-0.2465603476	9397	27.7%
0.07622994242	4153	12.2%
0.3990202325	2640	7.8%
0.7218105225	1310	3.9%
1.044600813	947	2.8%
1.367391103	541	1.6%
1.690181393	401	1.2%
2.012971683	246	0.7%
2.335761973	210	0.6%
Other values (37)	903	2.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-0.5693506376	13160	38.8%
-0.2465603476	9397	27.7%
0.07622994242	4153	12.2%
0.3990202325	2640	7.8%
0.7218105225	1310	3.9%
1.044600813	947	2.8%
1.367391103	541	1.6%
1.690181393	401	1.2%
2.012971683	246	0.7%
2.335761973	210	0.6%

Value	Count	Frequency (%)
19.44364734	1	< 0.1%
17.82969589	1	< 0.1%
16.86132502	1	< 0.1%
15.57016386	1	< 0.1%
15.24737357	2	< 0.1%
13.95621241	1	< 0.1%
13.31063183	1	< 0.1%
12.98784154	3	< 0.1%
12.34226096	1	< 0.1%
11.37389009	3	< 0.1%

feature_5
Real number (ℝ)

HIGH CORRELATION

Distinct	517
Distinct (%)	1.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	-0.004651945576

Minimum	-0.4114531065
Maximum	8.127647702
Zeros	0
Zeros (%)	0.0%
Negative	27923
Negative (%)	82.3%
Memory size	265.0 KiB

Quantile statistics

Minimum	-0.4114531065
5-th percentile	-0.4114531065
Q1	-0.4114531065
median	-0.4114531065
Q3	-0.4114531065
95-th percentile	2.734531402
Maximum	8.127647702
Range	8.539100808
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.993983554
Coefficient of variation (CV)	-213.6705036
Kurtosis	7.035493714
Mean	-0.004651945576
Median Absolute Deviation (MAD)	0
Skewness	2.635938561
Sum	-157.7381706
Variance	0.9880033057
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
-0.4114531065	27752	81.8%
1.416214084	124	0.4%
0.5173613674	110	0.3%
1.426201336	101	0.3%
0.507374115	95	0.3%
1.406226832	90	0.3%
3.293817537	73	0.2%
1.436188589	64	0.2%
0.5373358722	60	0.2%
3.233894022	59	0.2%
Other values (507)	5380	15.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-0.4114531065	27752	81.8%
-0.3914786017	13	< 0.1%
-0.3814913493	25	0.1%
-0.3715040969	1	< 0.1%
-0.3615168445	1	< 0.1%
-0.351529592	9	< 0.1%
-0.3415423396	8	< 0.1%
-0.3315550872	5	< 0.1%
-0.3215678348	20	0.1%
-0.3115805824	9	< 0.1%

Value	Count	Frequency (%)
8.127647702	1	< 0.1%
8.007800673	1	< 0.1%
7.897940896	1	< 0.1%
7.867979139	1	< 0.1%
7.848004634	1	< 0.1%
7.668234091	1	< 0.1%
7.638272334	1	< 0.1%
7.508438053	2	< 0.1%
7.4984508	1	< 0.1%
7.378603771	1	< 0.1%

feature_6
Real number (ℝ)

HIGH CORRELATION

Distinct	36
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	-0.007497737708

Minimum	-0.2519403707
Maximum	23.62564416
Zeros	0
Zeros (%)	0.0%
Negative	27752
Negative (%)	81.8%
Memory size	265.0 KiB

Quantile statistics

Minimum	-0.2519403707
5-th percentile	-0.2519403707
Q1	-0.2519403707
median	-0.2519403707
Q3	-0.2519403707
95-th percentile	1.050473331
Maximum	23.62564416
Range	23.87758453
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.8026964203
Coefficient of variation (CV)	-107.0584824
Kurtosis	93.45909938
Mean	-0.007497737708
Median Absolute Deviation (MAD)	0
Skewness	7.33024153
Sum	-254.2332902
Variance	0.6443215431
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=36)

Value	Count	Frequency (%)
-0.2519403707	27752	81.8%
0.1821975299	2093	6.2%
0.6163354306	1557	4.6%
1.050473331	851	2.5%
1.484611232	539	1.6%
1.918749132	341	1.0%
2.352887033	209	0.6%
2.787024934	147	0.4%
3.221162834	95	0.3%
3.655300735	71	0.2%
Other values (26)	253	0.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-0.2519403707	27752	81.8%
0.1821975299	2093	6.2%
0.6163354306	1557	4.6%
1.050473331	851	2.5%
1.484611232	539	1.6%
1.918749132	341	1.0%
2.352887033	209	0.6%
2.787024934	147	0.4%
3.221162834	95	0.3%
3.655300735	71	0.2%

Value	Count	Frequency (%)
23.62564416	1	< 0.1%
17.54771355	1	< 0.1%
16.24529985	1	< 0.1%
15.81116195	2	< 0.1%
13.64047245	1	< 0.1%
12.77219665	3	< 0.1%
12.33805875	3	< 0.1%
11.90392085	2	< 0.1%
11.46978295	3	< 0.1%
11.03564505	1	< 0.1%

feature_7
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	12
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.336380795

Minimum	0
Maximum	11
Zeros	3891
Zeros (%)	11.5%
Negative	0
Negative (%)	0.0%
Memory size	265.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	4
Q3	7
95-th percentile	9
Maximum	11
Range	11
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	3.27337627
Coefficient of variation (CV)	0.7548636581
Kurtosis	-1.267428369
Mean	4.336380795
Median Absolute Deviation (MAD)	3
Skewness	0.2651690537
Sum	147038
Variance	10.7149922
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=12)

Value	Count	Frequency (%)
1	7286	21.5%
4	7137	21.0%
9	5691	16.8%
0	3891	11.5%
7	3094	9.1%
5	1683	5.0%
6	1164	3.4%
2	1118	3.3%
10	988	2.9%
3	938	2.8%
Other values (2)	918	2.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	3891	11.5%
1	7286	21.5%
2	1118	3.3%
3	938	2.8%
4	7137	21.0%
5	1683	5.0%
6	1164	3.4%
7	3094	9.1%
8	700	2.1%
9	5691	16.8%

Value	Count	Frequency (%)
11	218	0.6%
10	988	2.9%
9	5691	16.8%
8	700	2.1%
7	3094	9.1%
6	1164	3.4%
5	1683	5.0%
4	7137	21.0%
3	938	2.8%
2	1118	3.3%

feature_8
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	265.0 KiB

1	20434
2	9637
0	3837

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	33908
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	1
3rd row	1
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
1	20434	60.3%
2	9637	28.4%
0	3837	11.3%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1	20434	60.3%
2	9637	28.4%
0	3837	11.3%

Most occurring characters

Value	Count	Frequency (%)
1	20434	60.3%
2	9637	28.4%
0	3837	11.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	33908	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	20434	60.3%
2	9637	28.4%
0	3837	11.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	33908	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	20434	60.3%
2	9637	28.4%
0	3837	11.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	33908	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	20434	60.3%
2	9637	28.4%
0	3837	11.3%

feature_9
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	265.0 KiB

1	17380
2	9974
0	5147
3	1407

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	33908
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	2
3rd row	2
4th row	2
5th row	1

Common Values

Value	Count	Frequency (%)
1	17380	51.3%
2	9974	29.4%
0	5147	15.2%
3	1407	4.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1	17380	51.3%
2	9974	29.4%
0	5147	15.2%
3	1407	4.1%

Most occurring characters

Value	Count	Frequency (%)
1	17380	51.3%
2	9974	29.4%
0	5147	15.2%
3	1407	4.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	33908	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	17380	51.3%
2	9974	29.4%
0	5147	15.2%
3	1407	4.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	33908	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	17380	51.3%
2	9974	29.4%
0	5147	15.2%
3	1407	4.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	33908	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	17380	51.3%
2	9974	29.4%
0	5147	15.2%
3	1407	4.1%

feature_10
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	265.0 KiB

0	33293
1	615

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	33908
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	33293	98.2%
1	615	1.8%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	33293	98.2%
1	615	1.8%

Most occurring characters

Value	Count	Frequency (%)
0	33293	98.2%
1	615	1.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	33908	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	33293	98.2%
1	615	1.8%

Most occurring scripts

Value	Count	Frequency (%)
Common	33908	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	33293	98.2%
1	615	1.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	33908	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	33293	98.2%
1	615	1.8%

feature_11
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	265.0 KiB

1	18836
0	15072

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	33908
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	1
3rd row	0
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
1	18836	55.6%
0	15072	44.4%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1	18836	55.6%
0	15072	44.4%

Most occurring characters

Value	Count	Frequency (%)
1	18836	55.6%
0	15072	44.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	33908	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	18836	55.6%
0	15072	44.4%

Most occurring scripts

Value	Count	Frequency (%)
Common	33908	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	18836	55.6%
0	15072	44.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	33908	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	18836	55.6%
0	15072	44.4%

feature_12
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	265.0 KiB

0	28494
1	5414

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	33908
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	28494	84.0%
1	5414	16.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	28494	84.0%
1	5414	16.0%

Most occurring characters

Value	Count	Frequency (%)
0	28494	84.0%
1	5414	16.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	33908	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	28494	84.0%
1	5414	16.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	33908	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	28494	84.0%
1	5414	16.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	33908	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	28494	84.0%
1	5414	16.0%

feature_13
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	265.0 KiB

0	21978
2	9751
1	2179

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	33908
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	21978	64.8%
2	9751	28.8%
1	2179	6.4%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	21978	64.8%
2	9751	28.8%
1	2179	6.4%

Most occurring characters

Value	Count	Frequency (%)
0	21978	64.8%
2	9751	28.8%
1	2179	6.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	33908	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	21978	64.8%
2	9751	28.8%
1	2179	6.4%

Most occurring scripts

Value	Count	Frequency (%)
Common	33908	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	21978	64.8%
2	9751	28.8%
1	2179	6.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	33908	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	21978	64.8%
2	9751	28.8%
1	2179	6.4%

feature_14
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	12
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5.520496638

Minimum	0
Maximum	11
Zeros	2193
Zeros (%)	6.5%
Negative	0
Negative (%)	0.0%
Memory size	265.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	3
median	6
Q3	8
95-th percentile	9
Maximum	11
Range	11
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	3.003241212
Coefficient of variation (CV)	0.5440164914
Kurtosis	-0.9939361211
Mean	5.520496638
Median Absolute Deviation (MAD)	2
Skewness	-0.478875224
Sum	187189
Variance	9.019457777
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=12)

Value	Count	Frequency (%)
8	10273	30.3%
5	5187	15.3%
1	4672	13.8%
6	4021	11.9%
9	3005	8.9%
0	2193	6.5%
3	2013	5.9%
4	1071	3.2%
10	545	1.6%
11	427	1.3%
Other values (2)	501	1.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	2193	6.5%
1	4672	13.8%
2	150	0.4%
3	2013	5.9%
4	1071	3.2%
5	5187	15.3%
6	4021	11.9%
7	351	1.0%
8	10273	30.3%
9	3005	8.9%

Value	Count	Frequency (%)
11	427	1.3%
10	545	1.6%
9	3005	8.9%
8	10273	30.3%
7	351	1.0%
6	4021	11.9%
5	5187	15.3%
4	1071	3.2%
3	2013	5.9%
2	150	0.4%

feature_15
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	265.0 KiB

3	27756
0	3661
1	1365
2	1126

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	33908
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	3
3rd row	3
4th row	3
5th row	3

Common Values

Value	Count	Frequency (%)
3	27756	81.9%
0	3661	10.8%
1	1365	4.0%
2	1126	3.3%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
3	27756	81.9%
0	3661	10.8%
1	1365	4.0%
2	1126	3.3%

Most occurring characters

Value	Count	Frequency (%)
3	27756	81.9%
0	3661	10.8%
1	1365	4.0%
2	1126	3.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	33908	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
3	27756	81.9%
0	3661	10.8%
1	1365	4.0%
2	1126	3.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	33908	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
3	27756	81.9%
0	3661	10.8%
1	1365	4.0%
2	1126	3.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	33908	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
3	27756	81.9%
0	3661	10.8%
1	1365	4.0%
2	1126	3.3%

labels
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	265.0 KiB

0	29941
1	3967

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	33908
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	29941	88.3%
1	3967	11.7%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	29941	88.3%
1	3967	11.7%

Most occurring characters

Value	Count	Frequency (%)
0	29941	88.3%
1	3967	11.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	33908	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	29941	88.3%
1	3967	11.7%

Most occurring scripts

Value	Count	Frequency (%)
Common	33908	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	29941	88.3%
1	3967	11.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	33908	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	29941	88.3%
1	3967	11.7%

Auto

The auto setting is an easily interpretable pairwise column metric of the following mapping: vartype-vartype : method, categorical-categorical : Cramer's V, numerical-categorical : Cramer's V (using a discretized numerical column), numerical-numerical : Spearman's ρ. This configuration uses the best suitable for each pair of columns.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows

	feature_0	feature_1	feature_2	feature_3	feature_4	feature_5	feature_6	feature_7	feature_8	feature_9	feature_11	feature_14	feature_15	labels
0	-0.276515	-0.424429	1.344997	-0.012283	0.076230	1.076648	0.182198	3	0	1	0	10	2	1
1	0.853573	0.150991	0.503892	-0.979179	-0.569351	-0.411453	-0.251940	4	1	2	1	0	3	0
2	0.947747	-0.173832	1.825628	-0.703478	0.076230	-0.411453	-0.251940	6	1	2	0	5	3	0
3	0.853573	-0.381404	0.984523	-0.039464	-0.569351	-0.411453	-0.251940	4	0	2	1	5	3	0
4	1.324443	1.590527	-1.178318	-0.097711	-0.246560	-0.411453	-0.251940	0	1	1	0	8	3	0
5	1.418617	-0.447419	1.344997	0.154691	-0.569351	0.707119	3.221163	4	1	1	0	10	1	1
6	0.288529	-0.322285	-0.817845	-0.645231	-0.569351	-0.411453	-0.251940	9	1	1	1	5	3	0
7	0.006007	-0.332138	-0.817845	-0.322932	-0.569351	-0.411453	-0.251940	9	1	1	1	5	3	0
8	-1.500776	0.023230	-0.096898	1.016744	-0.569351	-0.411453	-0.251940	8	2	2	1	8	3	0
9	0.853573	-0.422130	1.344997	-0.466608	-0.246560	-0.411453	-0.251940	7	1	1	0	8	3	0

Last rows

	feature_0	feature_1	feature_2	feature_3	feature_4	feature_5	feature_6	feature_7	feature_8	feature_9	feature_11	feature_12	feature_13	feature_14	feature_15	labels
33898	-0.747384	-0.655648	-0.457371	-0.369530	-0.246560	3.094072	0.182198	4	0	2	1	1	0	8	0	0
33899	1.136095	-0.439208	0.744208	1.047809	-0.246560	-0.411453	-0.251940	1	1	1	0	0	0	1	3	1
33900	-0.276515	-0.390600	1.465155	-0.878218	1.690181	-0.411453	-0.251940	4	1	2	0	0	0	1	3	0
33901	-1.218254	-0.400125	-0.938003	-0.474374	-0.569351	-0.411453	-0.251940	0	2	1	0	1	0	5	3	0
33902	0.759399	0.257405	-1.058161	4.884330	-0.246560	3.124034	0.616335	1	2	0	1	0	0	8	1	1
33903	1.701139	-0.248387	-0.457371	-0.792789	-0.569351	4.851829	0.616335	5	0	0	0	0	2	10	0	0
33904	1.512791	-0.433625	-1.298476	-0.823854	-0.569351	-0.411453	-0.251940	10	1	2	0	0	2	8	3	0
33905	0.006007	-0.395526	0.984523	-0.555919	-0.246560	-0.411453	-0.251940	0	1	1	1	0	0	7	3	0
33906	-0.088167	0.789143	0.503892	-0.664647	-0.246560	-0.411453	-0.251940	1	1	1	1	0	0	9	3	0
33907	0.947747	-0.406365	-0.938003	-0.606400	-0.246560	-0.411453	-0.251940	1	1	3	1	0	2	8	3	0

Overview

Variables

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII